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Drug-Likeness Screener

A Python tool that retrieves molecular structures from PubChem and evaluates compounds using Lipinski's Rule of Five, a widely used set of guidelines for assessing drug-likeness during the early stages of drug discovery.

This project demonstrates a simple cheminformatics workflow using PubChemPy and RDKit.


Features

  • Search compounds by name using PubChem
  • Retrieve molecular structures as SMILES
  • Calculate molecular descriptors with RDKit:
    • Molecular Weight (MW)
    • LogP
    • Hydrogen Bond Donors (HBD)
    • Hydrogen Bond Acceptors (HBA)
  • Evaluate compounds against Lipinski's Rule of Five
  • Export results to a CSV file

Lipinski's Rule of Five

Lipinski's Rule of Five is commonly used to estimate whether a small molecule has properties consistent with orally active drugs.

The rules are:

  • Molecular Weight ≤ 500 Da
  • LogP ≤ 5
  • Hydrogen Bond Donors ≤ 5
  • Hydrogen Bond Acceptors ≤ 10

Compounds satisfying these criteria are generally considered more likely to have favourable oral bioavailability, although the rule is intended as a guideline rather than a guarantee.

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Drug likeness screening tool using RDKit molecular descriptors and Lipinski's Rule of Five.

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